Detalhe da pesquisa
1.
Defining the separation landscape of topological domains for decoding consensus domain organization of the 3D genome.
Genome Res
; 33(3): 386-400, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36894325
2.
A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes.
Brief Bioinform
; 24(3)2023 05 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-37055234
3.
PhenoDriver: interpretable framework for studying personalized phenotype-associated driver genes in breast cancer.
Brief Bioinform
; 24(5)2023 09 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-37738403
4.
A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.
Brief Bioinform
; 24(1)2023 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36642408
5.
m6Aexpress-enet: Predicting the regulatory expression m6A sites by an enet-regularization negative binomial regression model.
Methods
; 226: 61-70, 2024 Apr 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-38631404
6.
m 6 Aexpress-BHM: predicting m6A regulation of gene expression in multiple-groups context by a Bayesian hierarchical mixture model.
Brief Bioinform
; 23(4)2022 07 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-35848879
7.
Resilience function uncovers the critical transitions in cancer initiation.
Brief Bioinform
; 22(6)2021 11 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33954583
8.
Prediction of the transcription factor binding sites with meta-learning.
Methods
; 203: 207-213, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35462009
9.
m6Acancer-Net: Identification of m6A-mediated cancer driver genes from gene-site heterogeneous network.
Methods
; 203: 125-138, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35436514
10.
m6Aexpress-Reader: Prediction of m6A regulated expression genes by integrating m6A sites and reader binding information in specific- context.
Methods
; 203: 167-178, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35314342
11.
Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients.
Nucleic Acids Res
; 49(7): e37, 2021 04 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-33434272
12.
m6A-express: uncovering complex and condition-specific m6A regulation of gene expression.
Nucleic Acids Res
; 49(20): e116, 2021 11 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-34417605
13.
Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network.
BMC Bioinformatics
; 23(1): 341, 2022 Aug 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-35974311
14.
Network control principles for identifying personalized driver genes in cancer.
Brief Bioinform
; 21(5): 1641-1662, 2020 09 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-31711128
15.
Identifying driver genes for individual patients through inductive matrix completion.
Bioinformatics
; 37(23): 4477-4484, 2021 12 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34175939
16.
Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation.
Bioinformatics
; 37(22): 4277-4279, 2021 11 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-33974000
17.
deepMDDI: A deep graph convolutional network framework for multi-label prediction of drug-drug interactions.
Anal Biochem
; 646: 114631, 2022 06 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35227661
18.
Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis.
PLoS Comput Biol
; 17(5): e1008962, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33956788
19.
Prediction of Drug-Drug Interaction Using an Attention-Based Graph Neural Network on Drug Molecular Graphs.
Molecules
; 27(9)2022 May 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35566354
20.
Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network.
BMC Bioinformatics
; 21(1): 507, 2020 Nov 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-33160328